Evaluating 239Pu(n,f) cross sections via machine learning using experimental data, covariances, and measurement features-Reference-Cited by-同舟云学术

Evaluating 239Pu(n,f) cross sections via machine learning using experimental data, covariances, and measurement features

Published:2020-10 Issue: Volume:978 Page:164305
ISSN:0168-9002
Container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Author:

Whewell B.,Grosskopf M.,Neudecker D.

Funder

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

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